Instructions to use MirageML/fantasy-scene with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MirageML/fantasy-scene with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MirageML/fantasy-scene", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 264b321e1a85032a3fc9b4314b6725840d63b5179212d99d050f515c49b2636a
- Size of remote file:
- 492 MB
- SHA256:
- 52e1ab08c8792b7bb4b0a88cff08a21d0c1075635fd8eaf94ba0757ac5677a9d
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